Automatic Brain Tumor Detection and Segmentation in MR Images

被引：0

作者：

Zeljkovic, V. ^{[1
]}

Druzgalski, C. ^{[2
]}

Zhang, Y. ^{[1
]}

Zhu, Z. ^{[1
]}

Xu, Z. ^{[1
]}

Zhang, D. ^{[1
]}

Mayorga, P. ^{[3
]}

机构：

[1] New York Inst Technol, Dept Elect Engn, Nanjing Campus, New York, NY 10023 USA

[2] Calif State Univ, Dept Elect Engn, Mexico, CA USA

[3] Inst Tecnol Mexicali, Mexicali, Baja California, Mexico

来源：

2014 PAN AMERICAN HEALTH CARE EXCHANGES (PAHCE) | 2014年

关键词：

Brain tumor; brain cancer; image processing; segmentation;

D O I：

暂无

中图分类号：

R-058 [];

学科分类号：

摘要：

The MRI or CT scan images are primary follow up diagnostic tools when a neurologic exam indicates a possibility of a primary or metastatic brain tumor existence. The tumor tissue mainly appears in brighter colors than the rest of the regions in the brain. Based on this observation, an automated algorithm for brain tumor detection and medical doctors' assistance in facilitated and accelerated diagnosis procedure has been developed and initially tested on images obtained from the patients with diagnosed tumors and healthy subjects.

引用

页数：1

共 3 条

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Bauer, Stefan ;

May, Christian ;

Dionysiou, Dimitra ;

Stamatakos, Georgios ;

Buechler, Philippe ;

Reyes, Mauricio .

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2012, 59 (01) :25-29

[2] Multifractal Texture Estimation for Detection and Segmentation of Brain Tumors [J].

Islam, Atiq ;

Reza, Syed M. S. ;

Iftekharuddin, Khan M. .

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2013, 60 (11) :3204-3215

[3]

Selvakumar J., 2012, 2012 International Conference on Advances in Engineering, Science and Management (ICAESM), P186

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